import matplotlib.pyplot as plt
import createDecisionTree as cdt

decisionNode = dict(boxstyle="sawtooth", fc="0.8")
leafNode=dict(boxstyle="round4", fc="0.8")
arrow_args = dict(arrowstyle="<-")

'''
    设置标签文本内容及连接线
    
'''
def plotNode(nodeTxt, centerPt, parentPt, nodeType):
    createPlot.ax1.annotate(nodeTxt, xy=parentPt, xycoords = "axes fraction",
            xytext=centerPt, textcoords="axes fraction",
            va="center", ha="center", bbox=nodeType, arrowprops=arrow_args)

'''
    设置文本位置-线上文本
'''
def plotMidText(cntrPt, parentPt, txtString):
    xMid = (parentPt[0] - cntrPt[0])/2.0 + cntrPt[0]
    yMid = (parentPt[1] - cntrPt[1])/2.0 + cntrPt[1]
    #水平及垂直居中，并旋转30度(逆时针）
    createPlot.ax1.text(xMid, yMid, txtString, va="center", ha="center", rotation=30)

'''
    画myTree
'''
def plotTree(myTree, parentPt, nodeTxt):
    numLeafs = getNumLeafs(myTree)
    depth = getTreeDepth(myTree)
    firstStr = list(myTree.keys())[0]
    cntrPt = (plotTree.xOff + (1.0 + float(numLeafs))/2.0/plotTree.totalW, plotTree.yOff)
    plotMidText(cntrPt, parentPt, nodeTxt)
    plotNode(firstStr, cntrPt, parentPt, decisionNode)
    secondDict = myTree[firstStr]
    plotTree.yOff = plotTree.yOff - 1.0 / plotTree.totalD
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            plotTree(secondDict[key], cntrPt, str(key))
        else:
            plotTree.xOff = plotTree.xOff + 1.0 / plotTree.totalW
            plotNode(secondDict[key], (plotTree.xOff, plotTree.yOff),cntrPt, leafNode)
            plotMidText((plotTree.xOff, plotTree.yOff), cntrPt, str(key))
    plotTree.yOff = plotTree.yOff + 1.0 / plotTree.totalD

def getNumLeafs(myTree):
    numLeafs = 0
    firstStr = list(myTree.keys())[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__=='dict':
            numLeafs += getNumLeafs(secondDict[key])
        else: numLeafs += 1
    return numLeafs

def getTreeDepth(myTree):
    maxDepth = 0
    firstStr = list(myTree.keys())[0]
    secondDict = myTree[firstStr]
    for key in secondDict.keys():
        if type(secondDict[key]).__name__ == 'dict':
            thisDepth = 1 + getTreeDepth(secondDict[key])
        else: thisDepth = 1
        if thisDepth > maxDepth: maxDepth = thisDepth
    return maxDepth

def retrieveTree(i):
    listOfTrees = [{'no surfacing':{0:"no", 1:{'flippers':{0:"no", 1:"yes"}}}},
                   {
                       'no surfacing':{
                           0:"no",
                           1:{'flippers':{0:{"head":{0:"no",1:"yes"}},1:"no"}}
                       }
                   }
                  ]
    return listOfTrees[i]

'''
    入口方法
'''
def createPlot(inTree):
    flg = plt.figure(1, facecolor="white")
    flg.clf()
    axprops = dict(xticks=[], yticks=[])
    createPlot.ax1 = plt.subplot(111, frameon = False, **axprops)
    plotTree.totalW = float(getNumLeafs(inTree))
    plotTree.totalD = float(getTreeDepth(inTree))
    plotTree.xOff = -0.5/plotTree.totalW
    plotTree.yOff = 1.0
    plotTree(inTree, (0.5, 1.0), '')
    '''
        plotNode('a decision node', (0.5, 0.1),(0.1, 0.5), decisionNode)
        plotNode('a leaf node', (0.8, 0.1), (0.3, 0.8), leafNode)
    '''
    plt.show()


def storeTree(inputTree, filename):
    import pickle
    fw = open(filename, 'wb')
    pickle.dump(inputTree, fw)
    fw.close()


def grabTree(filename):
    import pickle
    fr = open(filename)
    return pickle.load(fr)


def hideGlassTest():
    fr = open('lenses.txt')
    lenses = [inst.strip().split('\t') for inst in fr.readlines()]
    lensesLabels = ['age', 'prescript', 'astigmatic', 'tearRate']
    lensesTree = cdt.createTree(lenses, lensesLabels)
    storeTree(lensesTree, 'lensesTree.dmp')
    createPlot(lensesTree)



